Objective
The SAFECITI project proposes the creation of a simulation system for Police intelligence analysts to predict the behavior of crowds in urban environments under specific threats or stresses (turmoil, violence, panic, catastrophes or terrorism) in order to train and develop better safety plans, and tactic operations. This platform will be designed both as a simulation platform for training purposes and as a predictive tool for operational use. The platform will also include performance measurement tools based on safety goals (people and infrastructure damage) to measure the skills of the analyst.
All the simulations will be stored in a database for further analysis, creating a large set of data that can be exploited. The database will work as an historic repository, but more interestingly, as a large set of useful data that will be re-analyzed by artificial intelligence algorithms to create predictive models. The main goal of this predictive model will be the creation of a virtual analyst that is able to recommend actions based on the enriched analysis of hundreds or thousands of simulations.
This project aims not only to improve the training methodologies and performance measurement of the analysts, but to create a new profile for new generation analysts that will get trained in a first stage and will operate the system later along their whole operational life, helping to enrich the system with new simulations and validation cases. These new analysts will be able to project new operational plans in advance by simulating “what-if” cases in complex scenarios, and anticipating threats.
The Consortium is an outstanding example of multi-sector collaboration between research excellence institutions, large corporation, end user and SMEs from five European Countries. Three SMEs are involved, one large corporation, one University and an end-user (Spanish National Police). All of them play a relevant role in the project. The Coordinator is Next Limit Technologies (SME).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences databases
- social sciences political sciences political transitions terrorism
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SEC-2013-1
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
28002 MADRID
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.